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omnisealbench_mduppes
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import pandas as pd

TYPES = [
    "str",
    "markdown",
    "number",
    "number",
    "number",
    "number",
    "number",
    "number",
    "number",
    "str",
    "str",
    "str",
    "str",
    "bool",
    "str",
    "number",
    "number",
    "bool",
    "str",
    "bool",
    "bool",
    "str",
]

ON_LOAD_COLUMNS = [
    "model", 
    "psnr", 
    "ssim", 
    "lpips",
    "Visual_bit_acc",
    "Geometric_bit_acc",
    "Compression_bit_acc",
    "Inpainting_bit_acc",
    "Mixed_bit_acc",    
    "avg_bit_acc",
    "avg_p_value",
    "avg_word_acc",
]


ON_LOAD_AUDIO_COLUMNS = [
    "model", 
    "snr", 
    "TimeDomain_bit_acc",
    "AmplitudeDomain_bit_acc",
    "identity_snr",
    "identity_bit_acc",
    "identity_detect_prob",
    "avg_bit_acc",
    "avg_tn_bit_acc",
    "avg_detect_prob",
    "avg_tn_detect_prob",
]


NUMERIC_INTERVALS = {
    "?": pd.Interval(-1, 0, closed="right"),
    "~1.5": pd.Interval(0, 2, closed="right"),
    "~3": pd.Interval(2, 4, closed="right"),
    "~7": pd.Interval(4, 9, closed="right"),
    "~13": pd.Interval(9, 20, closed="right"),
    "~35": pd.Interval(20, 45, closed="right"),
    "~60": pd.Interval(45, 70, closed="right"),
    "70+": pd.Interval(70, 10000, closed="right"),
}